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Korean Advanced Ai Data Trainer Jobs (NOW HIRING)

NewRocket

AI Data Intelligence Lead

OR · Remote

This role focuses on applying machine learning, generative AI, and advanced data engineering techniques to enrich, harmonize, and optimize enterprise data. These capabilities enable agentic AI ...

NewRocket

AI Data Intelligence Lead

This role focuses on applying machine learning, generative AI, and advanced data engineering techniques to enrich, harmonize, and optimize enterprise data. These capabilities enable agentic AI ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Training and competency development * Provide line management and leadership to members of the ... Provide leadership across advanced AI & Data domains: * Generative AI & LLM ecosystems (prompt ...

ALTEN Technology USA

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

Training and competency development * Provide line management and leadership to members of the ... Provide leadership across advanced AI & Data domains: * Generative AI & LLM ecosystems (prompt ...

Gerber Collision & Glass

Data & AI Architect

Elmhurst, IL

$63.50 - $81.75/hr

Advanced AI Patterns: Familiarity with AI-driven Software Development Life Cycle (SDLC) enhancements and testing automation. * Data & BI Ecosystem: Knowledge of leading platforms beyond the core ...

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Korean Advanced Ai Data Trainer information

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How much do korean advanced ai data trainer jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for korean advanced ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What are the typical daily tasks and collaborative aspects of a Korean Advanced AI Data Trainer role?

As a Korean Advanced AI Data Trainer, your daily responsibilities often involve annotating and curating data in Korean, reviewing machine-generated outputs for linguistic accuracy, and providing feedback to improve AI language models. You'll regularly collaborate with data scientists, engineers, and other language experts to discuss project requirements, resolve ambiguities, and ensure data quality standards are met. The role requires attention to detail, a strong understanding of Korean language nuances, and effective communication with both technical and non-technical team members.

What is the difference between Korean Advanced Ai Data Trainer vs Korean Ai Data Annotator?

AspectKorean Advanced Ai Data TrainerKorean Ai Data Annotator
CredentialsTypically requires specialized training in AI, data science, or related fieldsUsually requires basic data annotation skills, often on-the-job training
Work EnvironmentCollaborates with AI development teams, often in tech companies or research labsWorks primarily on labeling and annotating data, often in a more isolated setting
Industry UsageUsed in AI model training, especially for language and speech processing in KoreanUsed for preparing datasets for AI models, including image, text, and speech annotation

The Korean Advanced Ai Data Trainer typically has more specialized skills and works closely with AI development teams to improve model performance. In contrast, the Korean Ai Data Annotator focuses on labeling data to create training datasets. Both roles are essential in AI development, but the trainer usually requires more advanced knowledge and responsibilities.

What are the key skills and qualifications needed to thrive as a Korean Advanced AI Data Trainer, and why are they important?

To excel as a Korean Advanced AI Data Trainer, you need advanced Korean language proficiency, strong analytical abilities, and a background in linguistics or data science. Familiarity with annotation platforms, data labeling tools, and machine learning systems is often required, along with relevant certifications or experience. Attention to detail, critical thinking, and effective communication are vital soft skills for ensuring data quality and collaborating with technical teams. These competencies are crucial for producing high-quality datasets that enable accurate AI model training and performance.

What is a Korean Advanced AI Data Trainer?

A Korean Advanced AI Data Trainer is a professional who helps train artificial intelligence systems by providing, labeling, and reviewing data in the Korean language. They ensure that AI models understand and process Korean accurately by curating high-quality datasets, correcting outputs, and giving detailed feedback. This role often involves tasks such as annotating text, evaluating AI responses, and improving language models for applications like chatbots, translation, or voice assistants. Advanced trainers typically possess strong linguistic skills and a deep understanding of both AI technology and the nuances of the Korean language.
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Korean Advanced Ai Data Trainer jobs near you
Infographic showing various Korean Advanced Ai Data Trainer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Practice Manager - AI & Data

ALTEN Technology USA

Troy, MI

$160K - $190K/yr

Other

Re-posted 8 days ago

Job description

Responsibilities;

Practice Leadership & Management

  • Lead and manage the AI & Data practice
  • Manage and steer the allocation of practice resources across multiple activities, including:
    • Technical pre-sales support
    • Technical expertise delivery to projects
    • Recruitment support
    • Training and competency development
  • Provide line management and leadership to members of the practice including technical leadership across AI and Data
  • Define skills development objectives for practice members and evaluate progress and effectiveness
  • Develop, improve, and standardize processes, methodologies, and tools
  • Foster a culture of collaboration, innovation, and knowledge sharing across the practice

Client Engagement & Pre-Sales

  • Partner with Sales and Account teams to identify and shape AI & Data opportunities
  • Lead or contribute to solutioning, proposals, and RFP responses
  • Act as a trusted advisor in client discussions and executive forums
  • Align AI & Data solutions with business value and client outcomes

Technical Leadership & Innovation

  • Provide leadership across advanced AI & Data domains:
    • Generative AI & LLM ecosystems (prompt engineering, RAG, multi-agent systems)
    • Data Engineering & Modern Data Platforms (ETL/ELT, streaming, data lakes, data mesh)
    • Cloud-based AI architectures (AWS, Azure, GCP AI services)
  • Machine Learning & Deep Learning (supervised, unsupervised, reinforcement learning)
    • Support delivery teams with hands-on guidance and expert oversight
    • Drive development of AI & Data offerings, accelerators, and reusable assets
    • Identify opportunities for AI-driven productivity gains and automation
    • Ensure adoption of industry best practices and scalable architectures

Qualifications

  • 12-15 years of experience in consulting, engineering services, or technology-driven organizations
  • 5+ years of experience in AI, Data, or Analytics leadership roles
  • Proven experience building and scaling technical teams or practices
  • Experience in:
    • Generative AI technologies (LLMs, RAG pipelines, prompt engineering, API-based AI services)
    • AI/ML frameworks (e.g., Python ecosystem, TensorFlow, PyTorch, Scikit-learn)
    • Data Engineering tools & platforms (Spark, Databricks, distributed systems)
    • Cloud AI ecosystems (Azure AI, AWS SageMaker/Bedrock, Google Vertex AI)
    • MLOps / LLMOps tools (MLflow, Kubeflow, containerization, orchestration)
  • Understanding of data governance, security, and AI regulations

Skills & Competency Management

  • Create, maintain, and manage the practice skill matrix
  • Identify competency gaps and develop capability-building plans
  • Develop and coordinate technical training programs and certification initiatives
  • Build and strengthen a team of experts through:
    • Recruitment
    • Coaching and mentoring
    • Internal talent development and training
  • Support career development planning and succession management within the practice
  • Promote technical communities, best practices, and continuous learning initiatives

Educational Qualifications

  • Bachelor's degree (or higher) in Computer Science, Data Science, AI, or related field
  • Certifications in AI/ML, Cloud are a plus

Salary Range: $160,000-$190,000 + Annual Performance Bonus

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience 

Note: this position is on-site, but can be located in Greensboro, NC, Broomfield, CO, or Troy, MI. 

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